A framework to create, evaluate and select synthetic datasets for survival prediction in oncology.

Journal: Computers in biology and medicine
Published Date: Apr 23, 2025

Abstract

BACKGROUND AND PURPOSE: Data-driven decision-making in radiation oncology (RO) relies on integrating real-world data effectively. Synthetic data (SD), generated through machine learning, offers a solution by mimicking real-world data without compromising privacy. This paper presents a general framework for generating, evaluating, and selecting high-quality tabular SD for clinical use, focusing on survival datasets in RO.

Authors

  • A T Christoforou
    Department of Radiation Oncology, German Oncology Center, Limassol, Cyprus. Electronic address: andreas.christoforou3@goc.com.cy.
  • S K B Spohn
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany.
  • T Sprave
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany.
  • T Fechter
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany.
  • A Rühle
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; Department of Radiation Oncology, University of Leipzig Medical Center, Leipzig, Germany.
  • N H Nicolay
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany; Department of Radiation Oncology, University of Leipzig Medical Center, Leipzig, Germany.
  • I Popp
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany.
  • A L Grosu
    Department of Radiation Oncology, Medical Center - University of Freiburg, Freiburg, Germany.
  • J C Peeken
    Department of Radiation Oncology, Technical University Munich, Munich, Germany.
  • A H Thieme
    Stanford Medicine, Stanford, USA.
  • T Stylianopoulos
    Cancer Biophysics Lab, Department of Mechanical Engineering, University of Cyprus, Cyprus.
  • I Strouthos
    Department of Radiation Oncology, German Oncology Center, Limassol, Cyprus.
  • K Ferentinos
    Department of Radiation Oncology, German Oncology Center, Limassol, Cyprus.
  • Y Roussakis
    Department of Radiation Oncology, German Oncology Center, Limassol, Cyprus.
  • C Zamboglou
    Department of Radiation Oncology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, German Cancer Consortium (DKTK), Partner Site DKTK, Freiburg, Germany.

Keywords

External Resources

Popular Topics
Recent Journals